AUTOMATION ASSISTANCE

Abstract

System Testing is the important phase of any project success. These test cases covers the complete functionality of a project with user perspective.

Many industry are working with big projects having huge number of system test cases. Executing this huge number of test cases manually is time consuming, costly and sometime impossible. Automation makes it possible to execute the test cases in less time as compared to manual execution. Automation helps to perform this testing multiple times with less effort.So all industry depends on automation to complete a project on time.

For large projects having 10 thousands of test cases, automating this big number of test cases is itself a challenge.

While doing the automation of a test case, some test steps may be similar to previously developed cases. Instead of developing same test steps again, it is always efficient to reuse the previous developed test script and only write the script for the different test steps.

But in big projects with many members automating the huge set of test cases, it is difficult to remember and reuse the others member automation script.

We should find a tool so that one can easily reuse the others developed test scripts for similar test steps for faster automation.

Artificial Intelligence is widely used in industries now. With the availability of data it is easy to simulate the human intelligence in different activities.

By applying Artificial intelligence model on already developed Automation scripts, it is possible to reuse it in developing new Automated Test Case.

In this project we are building an AI modeled faster Automation solution. This approach is proved to be very efficient and save lot of efforts in automating the similar test steps. It finds the similarity between the test steps and suggest top similar test scripts based on the similarity index. Automation Engineer can choose the best suited test step and copy the already developed test script to his code.

We have also discussed its future expansion in Risk based testing and Analysis